hiroyuki-kasai / RSOptLinks
Riemannian stochastic optimization algorithms: Version 1.0.3
☆64Updated 2 years ago
Alternatives and similar repositories for RSOpt
Users that are interested in RSOpt are comparing it to the libraries listed below
Sorting:
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 9 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 10 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- A matlab library for CUR matrix decomposition☆27Updated 7 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- Kernel Methods Toolbox for Matlab/Octave☆52Updated 6 years ago
- Optimization using Stochastic quasi-Newton methods☆43Updated 8 years ago
- A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis☆20Updated 7 years ago
- ☆32Updated 2 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆54Updated 6 years ago
- tensor-train tensor completion (T3C), which is based on tt decomposition and gradient descent.☆11Updated 7 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 9 years ago
- MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20☆223Updated 2 years ago
- MATLAB Tensor Tools☆88Updated 4 years ago
- Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation☆16Updated 4 years ago
- Variational Inference in Gaussian Mixture Model☆59Updated 4 years ago
- ☆15Updated 7 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆76Updated 3 years ago
- Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"☆25Updated 2 years ago
- python algorithms to solve sparse linear programming problems☆31Updated 2 years ago
- The MATLAB source code☆14Updated 5 years ago
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆22Updated 6 years ago
- A fresh approach to deep learning written in MATLAB☆24Updated 3 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 7 years ago
- Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper "Data augmentation for support vector machines"☆17Updated 10 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning☆34Updated 9 years ago
- ☆46Updated 2 years ago
- Examples/code for the alternating direction method of multipliers (ADMM)☆112Updated 10 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago